Senior Backend Engineer

About the Role

This is a high-impact individual contributor role on the backend engineering team of an early-stage AI-native platform for cloud architecture planning. You will design and build the intelligent systems that power observability, architecture modeling, and AI-driven recommendation engines, sitting at the intersection of distributed systems, data pipelines, and ML infrastructure.

• Design and build scalable backend systems powering observability, architecture modeling, and recommendation engines using data pipelines, microservices, and system modeling techniques.

• Collaborate with AI engineers to embed LLM-based and multi-agent intelligence within the platform, enabling rich recommendations and generative planning capabilities.

• Contribute to core architecture capabilities by identifying patterns, building services that reflect architecture decisions, and ensuring actionable visibility for users.

• Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services.

• Work cross-functionally with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities.

• Share learnings and mentor teammates to strengthen overall engineering culture.

• 4+ years of backend engineering experience at high-growth startups or technology companies, building production-grade systems.

• Proven track record designing scalable, distributed systems and microservices architectures in production environments.

• Expertise in Go or Python with a commitment to clean, idiomatic, maintainable code.

• Experience building data pipelines, observability systems, and monitoring infrastructure for production services.

• Hands-on experience with Dev Ops tooling, infrastructure-as-code, and cloud-native technologies.

• Experience integrating or working with LLM-based systems, AI workflows, or multi-agent architectures.

• Track record of building 0-to-1 systems or products from inception in startup or early-stage environments.

• Demonstrated skill in performance tuning, debugging complex systems, and technical architecture design.

• Practical experience with fault-tolerant workflow design and resilience patterns in mission-critical services.

• Comfort and proficiency with AI-assisted development tools.

• Strong computer science fundamentals; graduate-level education is a plus.

• Domain experience in cloud architecture, infrastructure optimization, or technology stack modernization is a bonus.

Base salary: $160,000 to $200,000 USD annually, plus equity. Visa sponsorship is not available for this role.

Fully remote.